import numpy as np

def adversarial_training(model, data, labels, epsilon=0.1):
    """
    对抗训练
    :param model: 模型
    :param data: 训练数据
    :param labels: 标签
    :param epsilon: 扰动范围
    :return: 训练后的模型
    """
    # 生成对抗样本
    adversarial_data = data + epsilon * np.sign(np.random.randn(*data.shape))
    # 训练模型
    model.train(adversarial_data, labels)
    return model

# 示例
model = "YourModel"
data = np.random.randn(100, 10)
labels = np.random.randint(0, 2, 100)
trained_model = adversarial_training(model, data, labels)
print(f"Trained model: {trained_model}")